| Title |
Assessment of Network Inference Methods: How to Cope with an Underdetermined Problem
|
|---|---|
| Published in |
PLOS ONE, March 2014
|
| DOI | 10.1371/journal.pone.0090481 |
| Pubmed ID | |
| Authors |
Caroline Siegenthaler, Rudiyanto Gunawan |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| Germany | 1 | 1% |
| Hungary | 1 | 1% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 59 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 33% |
| Researcher | 14 | 21% |
| Student > Master | 11 | 16% |
| Professor | 4 | 6% |
| Professor > Associate Professor | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 25% |
| Computer Science | 12 | 18% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Chemical Engineering | 3 | 4% |
| Mathematics | 3 | 4% |
| Other | 14 | 21% |
| Unknown | 7 | 10% |